7 Python Libraries For Manipulating Audio That Data Scientists Use

Python is dominating as a programming language thanks to its user-friendly feature. In a recent survey by Analytics India Magazine, 75% of the respondents claimed the importance of Python in data science. In this article, we list down 7 python libraries for manipulating audio.

(The list is in no particular order)

1| PYO

Pyo is a Python module written in C for digital signal processing script creation. It contains classes for a wide variety of audio signal processing types by which the user will be able to include signal processing chains directly in Python scripts or projects and to manipulate them in real time through the interpreter.

Subscribe to our Newsletter

Join our editors every weekday evening as they steer you through the most significant news of the day, introduce you to fresh perspectives, and provide unexpected moments of joy
Your newsletter subscriptions are subject to AIM Privacy Policy and Terms and Conditions.

The tools in pyo module offer primitives, like mathematical operations on the audio signal, basic signal processing (filters, delays, synthesis generators, etc.), but also complex algorithms to create sound granulation and others creative audio manipulations.

Click here

2| pyAudioAnalysis

pyAudioAnalysis is an open Python library that provides a wide range of audio-related functionalities focusing on feature extraction, classification, segmentation, and visualization issues.

With the help of this library, you can extract audio features and representations, classify unknown sounds, apply dimensionality reduction to visualize audio data and content similarities, perform supervised and unsupervised segmentation, detect audio events and exclude silence periods from long recordings and much more.

Click here

3| Dejavu

Dejavu Project is an open-source audio fingerprinting project in Python. It can memorize recorded audio by listening to it once and fingerprinting it. Then by playing a song and recording microphone input or on a disk file, Dejavu attempts to match the audio against the fingerprints held in the database, returning the song or recording being played.

Dejavu excels at the recognition of exact signals with reasonable amounts of noise. There are two ways to recognize audio using Dejavu. You can recognize by reading and processing files on disk, or through your computer’s microphone.

Click here

4| Mingus

Mingus is a package for Python used by programmers, musicians, composers, and researchers to make and investigate music. It is an advanced, cross-platform music theory and notation package for Python with MIDI file and playback support.

It can be used to play around with music theory, to build editors, educational tools and other applications that need to process and/or play music. At the core of Mingus is music theory, which includes topics like intervals, chords, scales, and progressions. These components are tested and can be used to generate and recognize musical elements using convenient shorthand.

Click here

5| hYPerSonic

hYPerSonic is a python/c framework for building and manipulating sound processing pipelines which are designed for real-time control. It is low-level where every byte counts and it includes objects for oscillators, filters, file-io, soundcard, and memory operations. The library currently works on Linux and OSX.

Click here

6| Pydub

Pydub is a simple and easy high-level interface based on ffmpeg and influenced by jquery. It manipulates audio, adding effects, id3 tags, slicing, concatenating audio tracks. Pydub supports python version 2.6, 2.7, 3.2, and 3.3.

Click here

7| Loris

Loris is an open source sound modeling and processing software package based on the Reassigned Bandwidth-Enhanced Additive Sound Model. It supports modified resynthesis and manipulations of the model data, such as time- and frequency-scale modification and sound morphing. Even though it is a C++ library, the Loris programmers’ interface supports Python programing language and SWIG interface files are provided so that the API can be easily extended to a variety of other languages.

Click here

Note: A short reminder to all Data Science folks to check out Machinehack’s latest hackathon – Predicting The Costs Of Used Cars – Hackathon By Imarticus Learning clicking here to participate and win exciting prizes.

Ambika Choudhury
A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box.

Download our Mobile App


AI Hackathons, Coding & Learning

Host Hackathons & Recruit Great Data Talent!

AIM Research

Pioneering advanced AI market research

Request Customised Insights & Surveys for the AI Industry

The Gold Standard for Recognizing Excellence in Data Science and Tech Workplaces

With Best Firm Certification, you can effortlessly delve into the minds of your employees, unveil invaluable perspectives, and gain distinguished acclaim for fostering an exceptional company culture.

AIM Leaders Council

World’s Biggest Community Exclusively For Senior Executives In Data Science And Analytics.

3 Ways to Join our Community

Telegram group

Discover special offers, top stories, upcoming events, and more.

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Subscribe to our Daily newsletter

Get our daily awesome stories & videos in your inbox

Subscribe to Our Newsletter

The Belamy, our weekly Newsletter is a rage. Just enter your email below.